2027 Summer Intern - Research and Development - Connected Vehicle Systems

About the role

Improved cellular communication standards, e.g., 5G, and infrastructure supports make rich infotainment applications in vehicles more feasible. Yet the highly dynamic cellular connectivity makes it very challenging to provide consistent Quality of Experience (QoE) to GM customers. To this end, there is an immediate demand to improved system architecture and optimization mechanisms to maintaining service quality, especially under the highly dynamic cellular networks. Data-intensive applications under cellular networks are most easily affected by network performance fluctuations due to their exclusive demands for network resources. As a result, Cloud and vehicle system co-design will offer unique opportunities in guaranteeing user QoE.

Responsibilities

• Understand the current status of cellular network, including deployment and communication performance.
• Algorithm design to address QoE degradation as hinted by cellular communication performance issues, including latency reduction, service continuity, service smoothness and if necessary minimum QoE sacrifice.
• Vehicle and Cloud/Edge end-to-end system design in support of the design algorithms to ensure QoE.
• Implement and test an end-to-end system in GM test vehicles, demonstrating efficacy of the system design and algorithmic contribution.
• Actively document and potentially further improve ideas generated while working on the system.
• Extensively evaluate system performance using a data-driven approach with good test scenario coverage.
• Practice forward-thinking, be comprehensive in system and algorithmic design, foresee research challenges and proactively identify solutions.

Qualifications

Required Qualifications:

• Pursuit of a Master or PhD degree
• Must be a current student
• Able to work fulltime, 40 hours per week during the summer months
• Background in mobile networks and wireless communications, particularly on Cloud/Edge computing and 4G/5